--- title: 'Applied Data Scientist at Beamup' canonical: 'https://feeny.ai/job/applied-data-scientist-beamup-tel-aviv-7t0hcc3hh0j0' type: 'job' last_seen: '2026-09-11' --- # Applied Data Scientist at Beamup - **Company:** Beamup - **Location:** Tel Aviv, Israel - **Posted:** 2026-01-05 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.eu.greenhouse.io/beamup/jobs/4607565101 ## Job description ## About Us Beamup helps enterprises move beyond dashboards, alerts, and manual triage to automated supply chain execution. Our AI platform supports large, complex retail and manufacturing networks by deploying specialized AI agents that operate continuously across stores, distribution centers, warehouses, and in-transit operations. These agents detect execution issues, identify root causes, and execute corrective actions - either autonomously or by routing work to the right teams. Retailers and manufacturers rely on Beamup to replace reactive workflows with consistent, scalable execution — reducing losses, improving performance, and operating with greater confidence at global scale. ## Our Mission To redefine supply chain intelligence by building AI agents that predict, prevent, and resolve inventory health and operational issues in real time. Job Summary: We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform — designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain. Responsibilities: - Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end - Architect multi-agent workflows with planning, tool use, memory, and feedback loops — enabling agents to reason, adapt, and improve over time - Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines - Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases - Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts - Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling - Collaborate with software engineers to productionize agentic solutions — including testing, monitoring, versioning, and iterative improvement - Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing Requirements: - 4+ years of experience in applied data science or ML in a product environment, with demonstrated experience building agentic systems or autonomous agents - MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience) - Proven track record designing and implementing multi-step agentic pipelines, including LLM-based agents, tool use, planning loops, and memory mechanisms - Hands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or equivalent - Strong Python coding skills; familiar with Spark for large-scale, distributed data processing - Experience with LLM APIs (e.g., OpenAI, Anthropic, Bedrock, open-source models) and prompt engineering for agentic use cases - Experience performing rigorous model evaluation (baselines, cross-validation, error analysis) and defining evaluation strategies for agent behavior - Strong communication and collaboration skills; able to work across engineering, product, and supply chain domain experts and iterate fast ## Nice to Have (Advantages) - Experience with multi-agent architectures, agent-to-agent communication protocols, and agent orchestration at scale - Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices (CI/CD for ML, model monitoring, drift detection) - Familiarity with containerization and production engineering practices (Docker, Kubernetes) Beamup is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. You can read more about us at: https://www.beamup.ai/ And we were also chosen to be one of the 50 most promising Israeli startups of 2023: https://www.calcalistech.com/ctechnews/article/hjtwkugx2 Beamup is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetics. You can read more about us at: https://www.beamup.ai/ And we were also chosen to be one of the 50 most promising Israeli startups of 2023: https://www.calcalistech.com/ctechnews/article/hjtwkugx2 ## About Beamup ## Company Overview - **One-liner**: Beamup builds AI agents that protect customer loyalty by diagnosing and fixing supply chain execution failures for D2C brands, marketplaces, retailers, and manufacturers. - **Entity Type**: Private (Seed stage) – $15M total funding raised. - **Headquarters**: Tel Aviv, Israel - **Founded**: 2019 - **Founders**: Stephane Levy (CEO) and Ran Ziv (Co-Founder, CTO) ## Core Business - **Primary industry**: Supply chain execution / AI-powered operations. - **Target customers**: B2B – D2C brands, ecommerce operators, multi-channel retailers, and complex manufacturing networks. - **Mission**: “To close the gap between what every customer-facing team hears and what every operations team sees. So delivery promises hold, customer loyalty compounds, and the work of fixing supply chain failures doesn’t start from zero every time the same one happens again.” ## Products & Services - **Beamup Platform (AI Agent Suite)**: A SaaS platform that ingests signals across orders, fulfillment, carriers, returns, support tickets, and reviews. It detects failures, pinpoints root causes (by site, SKU, supplier, workflow), and either recommends or autonomously executes corrective actions. Key modules include: - **Autonomous Action**: Executes fixes automatically or routes actions to the right team, at scale without adding headcount. - **Root Cause Clarity**: Pinpoints why failures happen across sites, SKUs, suppliers, and workflows. - **Unified Data Model**: Brings signals across order, fulfillment, carrier, returns, support, and review systems into a single operational view. - **Real-Time Intelligence**: Continuously detects failures that erode customer loyalty before reviews or ratings drop. - **Context-Rich AI Reasoning**: Every insight includes a full Reasoning Trace, showing the agent’s logic to eliminate “black box” risks. - **Corrective Action, Closed-Loop**: Human-validated first run; after approval, the same fix runs automatically the next time that failure mode appears. ## Market Standing - **Valuation/Market Cap**: Not disclosed. - **Key Metric**: Total funding of **$15M** (Seed round in March 2022, plus a convertible note in March 2023). - **Notable Investors/Partners**: Led by **Ibex Investors** and **StageOne Ventures** (seed round); one additional investor in the convertible note. - **Growth Signals**: - Headcount of **53 employees** (+34.9% YoY) as of mid-2026. - Active in **20+ countries** and trusted by **Fortune-100** supply chains. - Proven results: 35% increase in units per hour without adding headcount, 22% reduction in shrink and concessions, 20% less excess inventory, 71% reduction in line-stopping stockouts. - 11 granted AI patents. ## Competitive Advantages - **Reasoning Traces**: Transparent, step-by-step AI logic that builds trust and enables human oversight. - **Focus on customer loyalty impact** rather than just operational visibility – ties every failure to a dollar value and a loyalty impact score. - **Closed-loop automation**: Once a fix is validated, it runs automatically on recurrence, eliminating manual triage. - **Patented technology** and a purpose-built platform that sits between visibility tools and planning tools. ## Strategic Focus - **Automate supply chain execution at scale** using AI agents that detect issues, identify root causes, and execute corrective actions across complex enterprise networks. - **Expand autonomous action** – moving from “monitoring” to “agentic execution” so that delivery promises hold and NPS climbs. - **Deepen integration** with existing enterprise tools (tasks route directly into tools teams already use). ## Why Work Here - **Culture**: “If you want to spend your days closing the gap between what customer-facing teams hear and what operations teams see, and you’d rather work in working numbers than slide titles, we want to hear from you.” - **Work environment**: Offices in Tel Aviv (HQ), United States, France, Germany, and Poland. Remote/hybrid policy not explicitly stated, but the team is distributed across five countries. - **Engineering & R&D focus**: Strong technical team (13 in technical roles, plus dedicated R&D and data teams). Open roles include Data Analyst, Applied Data Scientist, Senior Full-Stack Engineer, AI & Technology Operations Manager. - **Notable perks**: Not detailed publicly, but the company emphasizes innovation, transparency, and impact – “the openness to innovation when there is clear, explainable value.” ## Sources 1. [beamup.ai](https://www.beamup.ai/) – Product overview, results, and value proposition. 2. [beamup.ai/about](https://www.beamup.ai/about) – Mission, leadership, and culture. 3. [linkedin.com/company/beamup](https://il.linkedin.com/company/beamup) – Company details, headcount, funding, and employee growth. 4. [kompas.vc](https://www.kompas.vc/news/inside-beamup) – Founder interview on pivot, product philosophy, and strategic focus. ## Other roles at Beamup - [Applied AI/ML Scientist](https://feeny.ai/job/applied-ai-ml-scientist-beamup-tel-aviv-8q6n4x2d5ayp) — Tel Aviv, Israel - [Senior Full-Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-beamup-israel-qq7269pcycny) — Israel - [AI & IT Manager](https://feeny.ai/job/ai-it-manager-beamup-tel-aviv-1c7vmh31qqam) — Tel Aviv, Israel - [Applied Data Scientist](https://feeny.ai/job/applied-data-scientist-nift-tel-aviv-t0dm80sb7v31) — Tel Aviv, Israel - [Applied Data Scientist](https://feeny.ai/job/applied-data-scientist-shift5-rosslyn-va-59hbf4nnxyt6) — Rosslyn VA, OR - [Applied Data Scientist](https://feeny.ai/job/applied-data-scientist-hop-san-francisco-7w9xf6ma3dea) — San Francisco, CA